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Wan 2.1 Fun 14B Control GGUF

This is a direct GGUF conversion of alibaba-pai/Wan2.1-Fun-14B-Control

Quellehuggingface.co/city96/Wan2.1-Fun-14B-Control-gguf/tree/00f122002f58515399198e6f5c60be2dcb6ffdd8
ArtModellBasismodellalibaba-pai/Wan2.1-Fun-14B-ControlVersionWan2.1 fun 14b control BF16

Modellquelle

Art
Modell
Dateigröße
5,61–30,6 GB
Basismodell
alibaba-pai/Wan2.1-Fun-14B-Control
Version
vWan2.1 fun 14b control BF16
Aktualisiert
2. Okt. 2026
Quelle
Hugging Face

Quellenbeschreibung

This is a direct GGUF conversion of alibaba-pai/Wan2.1-Fun-14B-Control

The model files can be used with the ComfyUI-GGUF custom node.

Place model files in ComfyUI/models/unet - see the GitHub readme for further install instructions.

The VAE and additional files can be downloaded from Comfy-Org/Wan_2.1_ComfyUI_repackaged - they are the same as the base Wan2.1 model.

Please refer to this chart for a basic overview of quantization types.

Quellen

1 Quelle
Hugging FacePrimärVersion 00f122002f58515399198e6f5c60be2dcb6ffdd8
huggingface.co/city96/Wan2.1-Fun-14B-Control-gguf/tree/00f122002f58515399198e6f5c60be2dcb6ffdd8

Verifiziert 2. Okt.

Download files

Modellartefakte

14 Artefakte

wan2.1-fun-14b-control-BF16.gguf

gguf · 30,6 GB · SHA-256 f387581d77cf…d640 · Hugging Face

Download file

wan2.1-fun-14b-control-Q2_K.gguf

gguf · 5,61 GB · SHA-256 77e33cf2afbe…5148 · Hugging Face

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wan2.1-fun-14b-control-Q3_K_M.gguf

gguf · 7,55 GB · SHA-256 3e57fdc0dbd1…97d6 · Hugging Face

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wan2.1-fun-14b-control-Q3_K_S.gguf

gguf · 6,93 GB · SHA-256 b74ffa2988fc…beb8 · Hugging Face

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wan2.1-fun-14b-control-Q4_0.gguf

gguf · 9,10 GB · SHA-256 adc9383e5087…7881 · Hugging Face

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wan2.1-fun-14b-control-Q4_1.gguf

gguf · 9,87 GB · SHA-256 8dd4bf647423…d538 · Hugging Face

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wan2.1-fun-14b-control-Q4_K_M.gguf

gguf · 10,1 GB · SHA-256 a843fab71c2d…78dd · Hugging Face

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wan2.1-fun-14b-control-Q4_K_S.gguf

gguf · 9,27 GB · SHA-256 f8dae473cc48…d131 · Hugging Face

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wan2.1-fun-14b-control-Q5_0.gguf

gguf · 11,0 GB · SHA-256 00473973d232…ac91 · Hugging Face

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wan2.1-fun-14b-control-Q5_1.gguf

gguf · 11,8 GB · SHA-256 9cdc24bbd147…28a3 · Hugging Face

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wan2.1-fun-14b-control-Q5_K_M.gguf

gguf · 11,4 GB · SHA-256 4c407e9a9e86…01dd · Hugging Face

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wan2.1-fun-14b-control-Q5_K_S.gguf

gguf · 10,8 GB · SHA-256 7eb444ae323a…e681 · Hugging Face

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wan2.1-fun-14b-control-Q6_K.gguf

gguf · 12,8 GB · SHA-256 b9918586b894…8959 · Hugging Face

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wan2.1-fun-14b-control-Q8_0.gguf

gguf · 16,5 GB · SHA-256 5b401032ff55…c340 · Hugging Face

Download file

Quellenauszüge

2 Auszüge
Readme2. Okt.huggingface.co/city96/Wan2.1-Fun-14B-Control-gguf

--- base_model: alibaba-pai/Wan2.1-Fun-14B-Control library_name: gguf quantized_by: city96 tags: - text-to-video - video - video-generation license: apache-2.0 language: - en - zh --- This is a direct GGUF conversion of [alibaba-pai/Wan2.1-Fun-14B-Control](https://huggingface.co/alibaba-pai/Wan2.1-Fun-14B-Control) The model files can be used with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node. Place model files in `ComfyUI/models/unet` - see the GitHub readme for further install instructions. The VAE and additional files can be downloaded from [Comfy-Org/Wan_2.1_ComfyUI_repackaged](https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/tree/main/split_files) - they are the same as the base Wan2.1 model. Please refer to [this chart](https://github.com/ggerganov/llama.cpp/blob/master/examples/perplexity/README.md#llama-3-8b-scoreboard) for a basic overview of quantization types.

Note2. Okt.huggingface.co/city96/Wan2.1-Fun-14B-Control-gguf

Source context: 2145 downloads · 20 likes · Pipeline text-to-video · Library gguf · Repo city96/Wan2.1-Fun-14B-Control-gguf